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Remote Embedded Machine Learning Jobs in Missouri

Jobgether

Our partner is looking for an AI Director - Machine Learning based in Netherlands. This role offers ... Fully remote working environment with flexibility to work from different regions worldwide.

New

Jobgether

Our partner is looking for a Machine Learning Engineer - Distillation based in Netherlands. This ... Remote-friendly work environment with an async-first culture. * Opportunity to solve challenging AI ...

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

Jobgether

Our partner is looking for a Technical Lead, Machine Learning based in Netherlands. This is a ... Remote-first working environment with flexibility across eligible locations. * Opportunity to work ...

New

Jobgether

Our partner is looking for a Machine Learning Engineer - Large Language Models based in Netherlands ... Benefits * Fully remote work environment with collaboration across an international team.

New

Jobgether

$88K - $106K/yr

Our partner is looking for a Machine Learning Engineer - Inference Optimization based in ... Flexible remote work environment. * Opportunity to contribute to the growth of an innovative AI ...

Catawiki

The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...

Jobgether

$76K - $96K/yr

As Head of Machine Learning Research & Intelligence, you will define and drive the research vision ... Fully remote position with the flexibility to work from Europe. * Opportunity to influence the ...

New

Jobgether

This role offers the opportunity to develop innovative cloud-based artificial intelligence and machine learning solutions within a fully remote, international engineering environment. You will ...

Kohl's

$95K - $131K/yr

Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate ...

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data ...

Jobgether

... remote environment. * At least 4 years of experience recruiting technical professionals within AI, machine learning, software engineering, cloud, data, DevOps, or technology consulting. * Proven ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Missouri

Remote Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Missouri? The most popular types of Embedded Machine Learning jobs in Missouri are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Missouri? For Remote Embedded Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Missouri look for? The top searched job categories for Remote Embedded Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Embedded Machine Learning jobs? Cities in Missouri with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you

AI Director - Machine Learning

Jobgether

On-site, Remote

Full-time

Medical, Dental, PTO

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Director - Machine Learning based in Netherlands.

This role offers the opportunity to lead advanced AI and machine learning initiatives within a highly innovative engineering environment. You will shape the strategy, development, and implementation of AI-driven solutions designed to transform creative workflows and unlock new possibilities. Working at the intersection of research, engineering, and product innovation, you will guide teams in exploring emerging AI technologies and turning ideas into impactful solutions. The position requires a visionary technical leader who can combine deep machine learning expertise with strong communication and collaboration skills. You will play a key role in defining AI capabilities, establishing best practices, and driving experimentation in a fast-moving, remote-first environment.

Accountabilities
  • Lead the research, development, prototyping, and implementation of machine learning solutions to support innovative product experiences.
  • Oversee AI and ML initiatives, including intelligent systems development, workflow optimization, and experimental prototypes.
  • Identify opportunities to integrate generative AI technologies across production processes and translate concepts into actionable strategies.
  • Collaborate with cross-functional teams to gather AI-related needs, prioritize opportunities, and deliver impactful solutions.
  • Explore and develop AI models trained on internal data, including experimentation with local and specialized machine learning systems.
  • Establish guidelines, frameworks, and best practices for agentic AI systems and emerging AI technologies.
  • Educate technical and non-technical stakeholders on AI capabilities, limitations, and practical applications.
  • Monitor advancements in AI research, models, tools, and industry trends to ensure continued innovation and technical excellence.
  • Provide technical leadership, mentorship, and strategic direction to engineering teams working on AI-driven projects.
Requirements
  • Previous experience in an AI/ML leadership role such as AI Director, AI Lead, Machine Learning Manager, or an equivalent position.
  • Strong expertise in artificial intelligence, machine learning theory, algorithms, system design, and practical implementation.
  • Advanced programming skills in Python and C++, with hands-on experience using machine learning frameworks such as PyTorch and TensorFlow.
  • Deep understanding of modern AI models, their capabilities, limitations, and appropriate use cases.
  • Ability to design and evaluate machine learning solutions while balancing research exploration with practical execution.
  • Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non-technical audiences.
  • Collaborative and mentoring-oriented mindset with a passion for innovation, problem-solving, and knowledge sharing.
  • Experience in game development or interactive entertainment environments is a plus but not required.
  • Ability to stay current with rapidly evolving AI technologies and apply emerging approaches effectively.
Benefits
  • Fully remote working environment with flexibility to work from different regions worldwide.
  • Competitive compensation package with additional benefits depending on location.
  • Generous paid time off allowance.
  • Company-wide summer and winter holiday closures separate from standard PTO.
  • Private medical and dental healthcare coverage.
  • Private mental health support program.
  • Annual health and wellbeing allowance.
  • Discretionary studio bonus opportunities.
  • High-quality technology equipment provided for home office setup.
  • Additional regional benefits based on location.
  • Opportunity to work on ambitious AI-driven projects within a collaborative and innovative engineering culture.
  • Strong focus on autonomy, continuous improvement, and meaningful impact rather than hours worked.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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